// Copyright 2023 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

// NOTICE: THIS FILE HAS BEEN MODIFIED FROM THE ORIGINAL
// Changes were made to use go protobuf instead of gogo protobuf.
// Original code is here: https://github.com/prometheus/prometheus/blob/e4ec263bcc11493953c75d1b2e7bc78fd0463e05/util/fmtutil/format.go

package promremotew

import (
	"errors"
	"fmt"
	"io"

	"sort"
	"time"

	prometheusv1 "github.com/certusone/wormhole/node/pkg/proto/prometheus/v1"

	dto "github.com/prometheus/client_model/go"
	"github.com/prometheus/common/expfmt"
	"github.com/prometheus/common/model"
)

const (
	sumStr    = "_sum"
	countStr  = "_count"
	bucketStr = "_bucket"
)

var MetricMetadataTypeValue = map[string]int32{
	"UNKNOWN":        0,
	"COUNTER":        1,
	"GAUGE":          2,
	"HISTOGRAM":      3,
	"GAUGEHISTOGRAM": 4,
	"SUMMARY":        5,
	"INFO":           6,
	"STATESET":       7,
}

// MetricTextToWriteRequest consumes an io.Reader and return the data in write request format.
func MetricTextToWriteRequest(input io.Reader, labels map[string]string) (*prometheusv1.WriteRequest, error) {
	var parser expfmt.TextParser
	mf, err := parser.TextToMetricFamilies(input)
	if err != nil {
		return nil, err
	}
	return MetricFamiliesToWriteRequest(mf, labels)
}

// MetricFamiliesToWriteRequest convert metric family to a writerequest.
func MetricFamiliesToWriteRequest(mf map[string]*dto.MetricFamily, extraLabels map[string]string) (*prometheusv1.WriteRequest, error) {
	wr := &prometheusv1.WriteRequest{}

	// build metric list
	sortedMetricNames := make([]string, 0, len(mf))
	for metric := range mf {
		sortedMetricNames = append(sortedMetricNames, metric)
	}
	// sort metrics name in lexicographical order
	sort.Strings(sortedMetricNames)

	for _, metricName := range sortedMetricNames {
		// Set metadata writerequest
		mtype := MetricMetadataTypeValue[mf[metricName].Type.String()]
		metadata := prometheusv1.MetricMetadata{
			MetricFamilyName: mf[metricName].GetName(),
			Type:             prometheusv1.MetricMetadata_MetricType(mtype),
			Help:             mf[metricName].GetHelp(),
		}
		wr.Metadata = append(wr.Metadata, &metadata)

		for _, metric := range mf[metricName].Metric {
			labels := makeLabelsMap(metric, metricName, extraLabels)
			if err := makeTimeseries(wr, labels, metric); err != nil {
				return wr, err
			}
		}
	}
	return wr, nil
}

func toTimeseries(wr *prometheusv1.WriteRequest, labels map[string]string, timestamp int64, value float64) {
	var ts prometheusv1.TimeSeries
	ts.Labels = makeLabels(labels)
	sample := prometheusv1.Sample{
		Timestamp: timestamp,
		Value:     value,
	}
	ts.Samples = append(ts.Samples, &sample)
	// ts.Samples = []prometheusv1.Sample{
	// 	{
	// 		Timestamp: timestamp,
	// 		Value:     value,
	// 	},
	// }
	wr.Timeseries = append(wr.Timeseries, &ts)
}

func makeTimeseries(wr *prometheusv1.WriteRequest, labels map[string]string, m *dto.Metric) error {
	var err error

	timestamp := m.GetTimestampMs()
	if timestamp == 0 {
		timestamp = time.Now().UnixNano() / int64(time.Millisecond)
	}

	switch {
	case m.Gauge != nil:
		toTimeseries(wr, labels, timestamp, m.GetGauge().GetValue())
	case m.Counter != nil:
		toTimeseries(wr, labels, timestamp, m.GetCounter().GetValue())
	case m.Summary != nil:
		metricName := labels[model.MetricNameLabel]
		// Preserve metric name order with first quantile labels timeseries then sum suffix timeserie and finally count suffix timeserie
		// Add Summary quantile timeseries
		quantileLabels := make(map[string]string, len(labels)+1)
		for key, value := range labels {
			quantileLabels[key] = value
		}

		for _, q := range m.GetSummary().Quantile {
			quantileLabels[model.QuantileLabel] = fmt.Sprint(q.GetQuantile())
			toTimeseries(wr, quantileLabels, timestamp, q.GetValue())
		}
		// Overwrite label model.MetricNameLabel for count and sum metrics
		// Add Summary sum timeserie
		labels[model.MetricNameLabel] = metricName + sumStr
		toTimeseries(wr, labels, timestamp, m.GetSummary().GetSampleSum())
		// Add Summary count timeserie
		labels[model.MetricNameLabel] = metricName + countStr
		toTimeseries(wr, labels, timestamp, float64(m.GetSummary().GetSampleCount()))

	case m.Histogram != nil:
		metricName := labels[model.MetricNameLabel]
		// Preserve metric name order with first bucket suffix timeseries then sum suffix timeserie and finally count suffix timeserie
		// Add Histogram bucket timeseries
		bucketLabels := make(map[string]string, len(labels)+1)
		for key, value := range labels {
			bucketLabels[key] = value
		}
		for _, b := range m.GetHistogram().Bucket {
			bucketLabels[model.MetricNameLabel] = metricName + bucketStr
			bucketLabels[model.BucketLabel] = fmt.Sprint(b.GetUpperBound())
			toTimeseries(wr, bucketLabels, timestamp, float64(b.GetCumulativeCount()))
		}
		// Overwrite label model.MetricNameLabel for count and sum metrics
		// Add Histogram sum timeserie
		labels[model.MetricNameLabel] = metricName + sumStr
		toTimeseries(wr, labels, timestamp, m.GetHistogram().GetSampleSum())
		// Add Histogram count timeserie
		labels[model.MetricNameLabel] = metricName + countStr
		toTimeseries(wr, labels, timestamp, float64(m.GetHistogram().GetSampleCount()))

	case m.Untyped != nil:
		toTimeseries(wr, labels, timestamp, m.GetUntyped().GetValue())
	default:
		err = errors.New("unsupported metric type")
	}
	return err
}

func makeLabels(labelsMap map[string]string) []*prometheusv1.Label {
	// build labels name list
	sortedLabelNames := make([]string, 0, len(labelsMap))
	for label := range labelsMap {
		sortedLabelNames = append(sortedLabelNames, label)
	}
	// sort labels name in lexicographical order
	sort.Strings(sortedLabelNames)

	labels := make([]*prometheusv1.Label, 0, len(labelsMap))
	// var labels [len(sortedLabelNames)]prompb.Label
	for _, label := range sortedLabelNames {
		labels = append(labels, &prometheusv1.Label{
			Name:  label,
			Value: labelsMap[label],
		})
	}
	return labels
}

func makeLabelsMap(m *dto.Metric, metricName string, extraLabels map[string]string) map[string]string {
	// build labels map
	labels := make(map[string]string, len(m.Label)+len(extraLabels))
	labels[model.MetricNameLabel] = metricName

	// add extra labels
	for key, value := range extraLabels {
		labels[key] = value
	}

	// add metric labels
	for _, label := range m.Label {
		labelname := label.GetName()
		if labelname == model.JobLabel {
			labelname = fmt.Sprintf("%s%s", model.ExportedLabelPrefix, labelname)
		}
		labels[labelname] = label.GetValue()
	}

	return labels
}
